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Elon Musk explains the delay for Tesla’s autonomous coast-to-coast trip

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Elon Musk has finally explained why the company ultimately delayed its 2017 plan for a coast-to-coast autonomous drive, and why he stands firm on Tesla’s three-pronged Autopilot approach for full self-driving over LiDAR technology.

During the Q&A portion of Tesla’s Q4 earnings call, Romit Jitendra Shah of Nomura Instinet asked Musk for any updates on the company’s plans for a fully autonomous coast-to-coast drive. Responding to the inquiry, the Musk explained that Tesla is focused on developing a full self-driving suite that would work on all roads under any conditions — something that would have been compromised had Tesla forced the feat last year.  

“We could have done the coast-to-coast drive, but it would have required too much specialized code to effectively game it or make it somewhat brittle and that it would work for one particular route, but not the general solution. So I think we would be able to repeat it, but if it’s just not any other route, which is not really a true solution,” Musk said.

When asked about the timeline for the coast-to-coast autonomous drive, the Tesla CEO stated that it might happen in three months, or “six months at the outside.” Musk further stated that the feature would be available for Model S, X, and 3 customers who purchased the Full Self-Driving (FSD) upgrade for their vehicles. The CEO did not confirm, however, if the feature would be rolled out to customers immediately after the coast-to-coast drive is accomplished, or if customers would have to wait before being able to access the feature.

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Perhaps the most interesting part of Musk’s statements about FSD, however, came from David Tamberrino of Goldman Sachs. During the Q&A session, Tamberrino asked Musk about his comments on LiDAR technology, a particularly prominent feature of Tesla’s rivals in the self-driving field. Responding to the inquiry, Musk was firm in his stance that LiDAR is not needed for Tesla’s vehicles to achieve fully autonomous driving, even going so far as to state that rivals being dependent on the technology might be making a grave mistake.  

“In my view, it is a crutch that will drive companies to a local maximum that they will find very difficult to get out of. They’re going to have a whole bunch of expensive equipment, most of which makes the car expensive, ugly and unnecessary. And I think they will find themselves at a competitive disadvantage,”

Musk further explained that utilizing sophisticated radar equipment is a far better option for FSD. Tesla is steadfast in using its three-pronged approach featuring redundant forward cameras, forward radar, and near-field ultrasonics will be key to the eventual mastery of autonomous driving.

Musk reaffirmed his stance on using this technology, as it allows vehicles to “see” through snow, rain, dust, and fog — conditions that even experienced drivers find difficult to drive on. Overall, Musk stated that he is optimistic about the development of Tesla’s autonomous driving suite. While Tesla’s CEO admitted that progress has been slow, he asserted that when the company achieves FSD, it would be something truly remarkable.

“It’s also one of those things that’s kind of exponential where it doesn’t seem like much progress, and suddenly, ‘wow.’ It will seem like well this is a lame driver. (Then,) like okay, that’s a pretty good driver. (Then,) like holy cow, this driver’s good,” Musk said. 

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It’s worth noting that Musk also stated that his beliefs in FSD, LiDAR, and radar technology might be proven wrong in the future. Musk did assert, however, that he is confident in his belief that Tesla’s non-LiDAR approach is the correct way to go.

Now perhaps I am wrong. In which case, I’ll look like a fool. But I am quite certain that I am not,” Musk said.

In a lot of ways, Musk’s statements about LiDAR and the delayed autonomous coast-to-coast drive makes perfect sense. As we noted in a previous report, Tesla’s focus on FSD technology is quite different than its competitors, in the way that the company is attempting to create a system that works under any conditions in any location. The leaders in the field, such as Waymo and GM, on the other hand, are pursuing something different, creating a system that works perfectly in a pre-programmed, set route.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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SpaceX adjusts Starship Flight 13 test launch target date once again

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Credit: SpaceX

SpaceX has updated its target for the thirteenth integrated flight test of Starship, aiming for as early as Thursday, July 23. The 90-minute launch window opens at 5:45 p.m. CT from the company’s Starbase facility in South Texas.

The target flight was initially rescheduled for today, but SpaceX pushed it back again.

This latest adjustment follows an aborted attempt earlier in the week and reflects the iterative, rapid-development approach that has defined the Starship program. With the vehicle already stacked and ground teams making final preparations, the mission represents another step toward proving the full reusability of the world’s most powerful rocket system.

The original launch attempt on July 16 was scrubbed at T-0 when several Raptor engines on the Super Heavy booster failed to ignite properly. The automatic abort system triggered just as the engines began their startup sequence, preventing liftoff.

SpaceX CEO Elon Musk confirmed that some engines did not start as expected, prompting the decision to replace two Raptors on Booster 20 to ensure reliability. The issue occurred despite a successful full-duration static fire earlier, highlighting the complexities of coordinating 33 engines under flight conditions.

This cautious approach underscores SpaceX’s commitment to safety amid an aggressive test cadence.

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SpaceX comes with a slew of changes for Starship Flight 13

Flight 13 builds directly on the lessons from Flight 12 in May 2026. The Super Heavy booster’s primary goals include a successful liftoff, ascent, stage separation, boostback burn, and controlled splashdown in the Gulf of America.

Hardware and software modifications address the off-nominal flip and boostback burn problems from the prior flight, where propellant slosh and engine relight issues led to an uncontrolled impact.

For the Starship upper stage, objectives include deploying 20 operational Starlink V3 satellites, the first real payload of this type, performing a single Raptor engine relight in space, and executing a controlled entry, descent, and splashdown in the Indian Ocean. Propulsion upgrades aim to improve engine-out capability after one vacuum Raptor was lost on Flight 12.

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Additional test elements focus on heat shield performance. Six satellites carry cameras to image the tiles during flight, while white-painted tiles and upgraded attachments on flaps and the aft skirt will gather data for future reusability.

The FAA completed its mishap investigation into Flight 12 earlier this month, clearing the regulatory path.

This suborbital mission, the second with V3 vehicles, advances Starship toward operational missions, including potential crewed flights and support for NASA’s Artemis program. Success would mark significant progress in rapid reusability and satellite deployment from the massive system.

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Elon Musk debunks $52 billion SpaceX-NVIDIA GPU deal

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Credit: SpaceX

Elon Musk dismissed reports claiming SpaceX had placed a massive order for NVIDIA GPUs worth $52 billion. The denial came hours after Taiwanese media, citing unnamed industry sources, reported that SpaceX planned to acquire approximately 13,000 AI server racks, equating to roughly 1 million GB300 GPUs, from Foxconn.

Each rack was estimated at around $4 million, with deliveries potentially starting in late 2025.

The story suggested this would mark SpaceX’s first major foray into Foxconn-manufactured NVIDIA hardware, breaking from suppliers like Supermicro and Dell. Musk responded bluntly on X:

Despite the denial, the rumored scale aligns with SpaceX’s explosive growth in AI infrastructure. NVIDIA’s GB300 (successor to the GB200 NVL) racks deliver unprecedented performance for large-scale training and inference. A $52 billion commitment would dwarf most corporate AI budgets and provide the compute muscle needed for frontier models.

SpaceX already operates gigawatt-scale terrestrial clusters like Colossus in Memphis, Tennessee, and has monetized them aggressively through leasing deals.

SpaceX’s newest Starmind will make earth data centers obsolete

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Major customers include Anthropic (paying ~$1.25 billion monthly for 220,000+ GPUs), Google (~$920 million monthly for 110,000 GPUs), and Reflection AI. These arrangements are projected to generate tens of billions in annual revenue, far outpacing traditional SpaceX businesses.

Such an investment would fuel internal AI efforts, particularly Grok models under the integrated SpaceXAI division, while supporting ambitious orbital data center plans. SpaceX envisions launching thousands of AI-optimized satellites powered by solar energy and cooled in space, bypassing terrestrial power and land constraints.

This “Starmind” constellation could position the company as a leader in space-based computing.

SpaceX as an Emerging AI Powerhouse

Once primarily known for reusable rockets and Starlink satellite internet, SpaceX has transformed into a multifaceted AI player.

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The 2026 acquisition of xAI integrated Grok development directly into the company. Starlink’s low-latency global network complements massive compute clusters, enabling efficient data flow for training and serving AI models.

Musk has long argued that AI scaling demands solutions beyond Earth, citing things like real estate and electricity limits on the ground.

While the Foxconn deal may not be in the cards, SpaceX’s trajectory is continuing on the path of blending aerospace engineering with hyperscale AI to dominate both launches and intelligence infrastructure.

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Elon Musk sheds details on Tesla FSD’s upcoming improvements

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Credit: Tesla

Elon Musk shed more details on the upcoming improvements to Tesla’s Full Self-Driving suite, specifically one that the CEO mentioned last week, which should help owners see fewer interventions.

Last week, Musk hinted that one major improvement that Tesla planned to roll out to Full Self-Driving users was the car’s ability “to remember your specific interventions and match each person’s individual preferences.”

Elon Musk says your Tesla will start to learn your individual preferences

This small bit of detail was linked to a post from Tesla community member Whole Mars, who said that FSD’s tendency to exit the carpool lane, a feature that owners can turn on but at times the car will disregard.

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It sounds like, based on Musk’s two responses since that original post, it is safe to say the things FSD will start to remember are wide-ranging. However, it seems the biggest differences will be noticed with parking performance, which Musk continues to mention.

Highway Lane Preferences

The initial post Musk mentioned, with these new remembered preferences soon to arrive for Tesla owners everywhere, was the Carpool/Express Lane.

Tesla has a setting in the FSD menu that lets drivers enable HOV Lane travel. However, the car won’t always stay in that suggested or preferred lane.

Some owners have also complained of left lane camping, an illegal maneuver in at least some states. Cruising in the passing lane has resulted in tickets for some, as it is illegal in over 30 states in the U.S.

Tesla did not confirm if these preferences would also be included in new FSD behaviors, but it would certainly help move the company toward fewer interventions.

Parking Preferences

This seems to be the real focus of the entire operation, as Musk stated several weeks ago that parking was overwhelmingly the most frequent reason for interventions.

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The major issue with parking is not necessarily the parking “performance,” as FSD is generally good at parking. It definitely has its issues; we’ve recorded plenty of them, including this one as recent as last week:

However, the changes coming are more about preferences, meaning where you park and how your car enters the spot, either pulling in or backing in. Owners have also reported that pulling into the correct driveway is a relatively rare thing for FSD, something else that needs to be confronted.

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Musk basically confirmed that all of these things would be part of Tesla’s plan to address driver preferences with FSD:

It’s obvious there is something big coming with FSD, and the company’s focus seems to be eliminating any intervention that would be related to preferences. This is probably the biggest bottleneck between Tesla and being fully autonomous. Critical interventions do occur, but they are much less frequent.

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The only time a driver should be taking over is because of a critical intervention; this seems to be the goal of Tesla right now.

This all seems to be a priority as Tesla continues to move closer to the prospect of unsupervised driving.

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